Evidence-first recall review
Recall candidates.Human decisions.
Match catalog records to official notices, inspect field-level evidence, and record every decision.
Catalog CSV and API inputs
Supported CPSC and openFDA sources
Field-level evidence
Documented review decisions
From catalog row to reviewed decision
RecallMatching organizes the evidence around a possible match so your team can make a traceable decision.
Send product records
Submit a CSV or structured API request with the identifiers your catalog already has.
Surface recall candidates
RecallMatching compares those fields with supported CPSC and openFDA recall records.
Inspect the evidence
Review exact matches, missing identifiers, source freshness, and the official notice.
Record a human decision
A reviewer decides whether to match, reject, or escalate the candidate and leaves an audit trail.
The review boundary
The system finds evidence. A person makes the decision.
RecallMatching does not determine whether a product is safe. It surfaces possible matches, shows why they appeared, and gives your reviewer a controlled place to decide what happens next.
Every candidate keeps the context visible
- Submitted and official values shown side by side
- Missing identifiers called out before a decision
- Direct links to the official recall source
- Reviewer, timestamp, note, and outcome preserved
Built for catalog teams that need a defensible process
Start with a real, non-sensitive workflow and help shape the product around the records, volume, and review controls your team needs.